BIST-514-01 Linear Models and Multivariate Analysis
Spring for 2017-2018
Faculty:
This course is an applied course on statistical modeling. The linear models module covers simple linear regression, multiple linear regression, analysis of variance, analysis of covariance, regression diagnostics, and model selection. The multivariate analysis module includes multivariate analysis of variance, principal components analysis, canonical correlation analysis, factor analysis, discriminant analysis, and cluster analysis. Students will learn how to use SAS to perform statistical analyses.

Textbook: Applied Linear Statistical Models with Student CD, 5th Edition, by Kutner, Nachtsheim, Neter and Li, McGraw-Hill Higher Education, 2005
ISBN: 9780073108742
Credits: 3
Prerequisites: None
More information
Look for this course in the schedule of classes.

The academic department web site for this program may provide other details about this course.